FitCalibWeibull: Fitting Weibull Calibration Models
In ICcalib: Cox Model with Interval-Censored Starting Time of a Covariate

Description Usage Arguments Value See Also Examples

Fits a Weibull calibration model for time-to-exposure from interval-censored data. The exposure is a binary covariate measured in intermittent times.

1	FitCalibWeibull(w, w.res)

`w`	A matrix of time points when measurements on the binary covariate were obtained.
`w.res`	A matrix of measurement results of the binary covariate. It corresponds to the time points in `w`

A bivariate vector: the estimated Weibull shape and scale parameters

fitdistcens

# Simulate data set
sim.data <- ICcalib:::SimCoxIntervalCensSingle(n.sample = 200, lambda = 0.1, 
                                               alpha = 0.25, beta0 = log(0.5), 
                                               mu = 0.2, n.points = 2, 
                                               weib.shape = 1, weib.scale = 2)
# Fit a Weibull calibration model for the covariate starting time distribution
ICcalib::FitCalibWeibull(w = sim.data$w, w.res = sim.data$w.res)